Statistical evaluation of climate experiments with general circulation models: a parametric time series modeling approach.

Abstract

A procedure for making statistical inferences about differences between population means from the output of general circulation model (GCM) climate experiments is presented. A parametric time series modeling approach is taken, yielding a potentially more powerful technique for detecting climatic change than the simpler schemes used heretofore. -from Author